Pre-defined Template
We made your life easier with pre-defined templates that will extract all data from to any destination.

About Mixpanel

Mixpanel gathers product usage data, including metrics like what features are being used most frequently, the number of active users, and when user engagement rises or drops. It also automatically collects data on all user actions and uses that data to provide a variety of useful insights, such as automatic suggestions for how to improve customer retention and lead acquisition. Since usage data is collected from the start, Mixpanel can also track newly defined metrics using historical data.

Pre-defined TemplateWe made your life easier with pre-defined templates that will extract all data from to any destination.

Popular Use Cases

Bring all your Trello data to Amazon Redshift

Load your Trello data to Google BigQuery

ETL all your Trello data to Snowflake

Move your Trello data to MySQL

Bring all your Mixpanel data to Amazon Redshift

Load your Mixpanel data to Google BigQuery

ETL all your Mixpanel data to Snowflake

Move your Mixpanel data to MySQL

Integrate Trello With Mixpanel Today

Free 7-day trial. Easy setup. Cancel any time.

Mixpanel's End Points

Events

Get any or all raw event data that has been collected by Mixpanel, including what events have occurred, when they happened, and any relevant properties about those events. Then, integrate this raw data with other data sources to get new or deeper usage analytics.

Funnels

Retrieve data about a customer’s journeys through your funnel. This data contains the customer’s timeline from start to finish - including how many steps in the funnel the customer completed during that time - which can be used to identify which steps during a funnel most commonly include specific events, such as losing a customer.

Segmentation

Gather event data that is filtered into segments by an array of properties, such as date range, country, and specific search terms. Then, use that filtered data to get deeper, more detailed analytics into your product performance.

People Analytics

Track customer engagement data, including a customer’s name and email address, as well as the date and time they last accessed your product. This allows you to run predictive analytics, which can show when engagement will likely drop or increase based on historical engagement data.

Retention

Get retention data for a specific cohort of customers by tracking signups and other relevant events during a specified date range. Then, you can feed that data into your analytics to provide a more comprehensive view of your retention trends over time.